Associate Full Professor - Petroleum Engineering

Job Summary

Job Description
King Fahd University of Petroleum & Minerals College of Petroleum Engineering & Geosciences CPG Department of Petroleum Engineering invites applications for a faculty position (Associate or Full Professor rank) in the area of Computational Modeling and Simulation to begin as early as January 2026. We seek an outstanding individual who will teach and conduct cuttingedge research to develop advance and apply innovative and computational approaches in Reservoir Engineering. We are interested in domains such as but not limited to fluid flow and contaminant transport in porous media reservoir simulation and history matching field development optimization geostatistical reservoir characterization and welltest analysis. The Department has a strong tradition and international reputation in undergraduate and graduate education and offers accredited B.S. M.S. and Ph.D. degrees in Petroleum Engineering. KFUPM ranks 5th globally in the 2025 QS World University Rankings by subject category of Petroleum Engineering. The Department has 25 fulltime faculty members 2 lecturers 15 postdocs 7 supporting staff and approximately 385 undergraduate majors and 94 graduate students. CPG has Highperformance computing facilities and software for use in this area. Programs are enhanced through close collaboration with the Department of Geosciences within the College and with other departments on campus. Information about KFUPM CPG computational facilities and the Department can be found at .

Qualifications
Candidates must possess a doctoral degree in Petroleum Engineering. The successful candidate will have demonstrated success for highquality basic and applied research and scholarship. Research interests should complement and support existing campus programs. Candidates should have research focus in one or more of these areas: flow in porous media reservoir simulation field development optimization or welltest analysis. Applicants should demonstrate a record of successful teaching and possess strong interpersonal and communication skills. Previous industry experience will be viewed positively. Applications from qualified female candidates are encouraged.

Required Experience:

IC

Key Skills

• AI
• Genetics
• Clinical Trials
• Pharmacy Residency
• Research Experience
• Teaching
• Higher Education Teaching
• Curriculum Development
• Grant Writing
• Program Development
• Mentoring
• Research Laboratory Experience

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